CN107945158A - A kind of dirty method and device of detector lens - Google Patents
A kind of dirty method and device of detector lens Download PDFInfo
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- CN107945158A CN107945158A CN201711132091.4A CN201711132091A CN107945158A CN 107945158 A CN107945158 A CN 107945158A CN 201711132091 A CN201711132091 A CN 201711132091A CN 107945158 A CN107945158 A CN 107945158A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
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Abstract
A kind of dirty method and device of detector lens, the described method includes：User equipment obtains image to be detected；The user equipment carries out edge detection according to edge convolution algorithm to described image to be detected, obtains edge image；The user equipment determines first edge and second edge from the edge image；The user equipment is if it is determined that the brightness value of the corresponding pixel of the first edge and the brightness value of the corresponding pixel of the second edge are more than predetermined threshold value, and the first edge and the second edge at least partly overlap, it is determined that shooting the camera lens of described image to be detected, there are dirty.
Description
Technical field
This application involves field of computer technology, more particularly to the method and device that a kind of detector lens are dirty.
Background technology
Camera plays an increasingly important role in actual life, and especially taking pictures on the user equipment such as mobile phone sets
Standby, at present, the photographic equipment that the camera lens on user equipment, such as mobile phone is usually not as specialty has lens cap, can be with protective glass
Head.Camera lens on user equipment is typically all exposed, and fingerprint, greasy dirt, dust etc. are stained with routine use, all can be to taking pictures
Impact, cause picture unintelligible, poor contrast.But user possibly can not know wherein reason, can only be attributed to product
Itself is bad, causes user's experience of taking pictures poor.
Therefore, can not be obtained there is an urgent need for a kind of dirty method and device of detector lens with solving user in the prior art at present
Know camera lens it is whether dirty cause user take pictures experience difference the problem of.
The content of the invention
The embodiment of the present application provides a kind of dirty method and device of detector lens, to solve user in the prior art
Can not know camera lens it is whether dirty cause user take pictures experience difference the problem of.
The embodiment of the present application provides a kind of dirty method of detector lens, including：
User equipment obtains image to be detected；
The user equipment carries out edge detection according to edge convolution algorithm to described image to be detected, obtains edge graph
Picture；
The user equipment determines first edge and second edge from the edge image；
The user equipment is if it is determined that the brightness value of the corresponding pixel of the first edge and the second edge are corresponding
The brightness value of pixel is more than predetermined threshold value, and the first edge is at least partly overlapped with the second edge, it is determined that shooting
There are dirty for the camera lens of described image to be detected.
A kind of possible implementation, the user equipment determine the first edge with the second edge at least partly
Overlap, including：
The user equipment determines that the first edge is at least partly overlapped with first area, it is determined that the first edge
At least partly overlapped with the second edge；The first area is the second edge area defined, and described first
The brightness value of pixel in region is more than the predetermined threshold value.
A kind of possible implementation, the user equipment determine the first edge with the second edge at least partly
Overlap, including：
The user equipment determines that second area is at least partly overlapped with first area, it is determined that the first edge and institute
Second edge is stated at least partly to overlap；The first area is the second edge area defined, and the first area
In the brightness value of pixel be more than the predetermined threshold value；The region that the second area is made of the second edge, and institute
The brightness value for stating the pixel in second area is more than the predetermined threshold value.
A kind of possible implementation, the user equipment determine first edge and the second side from the edge image
Edge, including：
The user equipment is determined from the edge image to meet the first of first shape feature according to Hough transformation
Edge and the second edge for meeting the second shape facility；The first shape is characterized as straight line；Second shape facility is circle
Shape, ellipse or square.
A kind of possible implementation, the user equipment obtain image to be detected, including：
The user equipment adjusts automatic exposure, white balance and the focusing of the camera lens of the user equipment, and in definite institute
After automatic exposure, white balance and the focusing for stating camera lens are stable state, the image shot by the camera lens is used as described in
Image to be detected.
A kind of possible implementation, the scope of the predetermined threshold value is 250-255.
A kind of possible implementation, the user equipment determine to shoot the camera lens of described image to be detected there are it is dirty it
Afterwards, including：
The user equipment display reminding information, the prompt message are used to prompt the camera lens for shooting described image to be detected
There are dirty.
The embodiment of the present application provides a kind of dirty device of detector lens, it is characterised in that including：
Receiving unit, for obtaining image to be detected；
Processing unit, for carrying out edge detection to described image to be detected according to edge convolution algorithm, obtains edge graph
Picture；First edge and second edge are determined from the edge image；If it is determined that the corresponding pixel of the first edge is bright
The brightness value of angle value and the corresponding pixel of the second edge is more than predetermined threshold value, and the first edge and the second edge
At least partly overlap, it is determined that shooting the camera lens of described image to be detected, there are dirty.
A kind of possible implementation, the processing unit, is specifically used for：
Determine that the first edge is at least partly overlapped with first area, it is determined that the first edge and second side
Edge at least partly overlaps；The first area is the second edge area defined, and the pixel in the first area
Brightness value be more than the predetermined threshold value.
A kind of possible implementation, the processing unit, is specifically used for：
Determine that second area is at least partly overlapped with first area, it is determined that the first edge and the second edge are extremely
Small part overlaps；The first area is the second edge area defined, and the pixel in the first area is bright
Angle value is more than the predetermined threshold value；The region that the second area is made of the second edge, and in the second area
The brightness value of pixel be more than the predetermined threshold value.
A kind of possible implementation, the processing unit, is specifically used for：
The first edge determining from the edge image to meet first shape feature according to Hough transformation and meet the
The second edge of two shape facilities；The first shape is characterized as straight line；Second shape facility for circular, ellipse or
It is square.
The embodiment of the present application provides a kind of computer-readable recording medium, including computer-readable instruction, works as computer
When reading and performing the computer-readable instruction so that computer performs the method described in above-mentioned any one.
The embodiment of the present application provides a kind of computer program product, including computer-readable instruction, when computer is read
And perform the computer-readable instruction so that computer performs the method as described in above-mentioned any one.
The embodiment of the present application provides a kind of chip, and the chip is connected with memory, for reading and performing the storage
The software program stored in device, to realize the method in any of the above-described in various possible designs.
According to method and device provided by the embodiments of the present application, image to be detected is obtained by user equipment；The user
Equipment carries out edge detection according to edge convolution algorithm to described image to be detected, obtains edge image；The user equipment from
First edge and second edge are determined in the edge image；The user equipment is if it is determined that the corresponding picture of the first edge
The brightness value of element is more than predetermined threshold value, and is overlapped with predeterminable area, it is determined that shooting the camera lens of described image to be detected, there are dirty
It is dirty；The predeterminable area is more than for the brightness value of the second edge area defined and the pixel in the predeterminable area
The predetermined threshold value.Realize that automatic identification camera lens is dirty, solve user in the prior art and can not know whether camera lens is dirty and lead
Apply family take pictures experience difference the problem of.
Brief description of the drawings
Fig. 1 is a kind of structure diagram of user equipment provided by the embodiments of the present application；
Fig. 2 is a kind of dirty method flow schematic diagram of detector lens provided by the embodiments of the present application；
Fig. 3 is a kind of schematic diagram of edge image provided by the embodiments of the present application；
Fig. 4 is a kind of schematic diagram for identifying edge image provided by the embodiments of the present application；
Fig. 5 is a kind of flow diagram of the dirty method of detector lens provided by the embodiments of the present application；
A kind of Fig. 6 structure diagrams of user equipment provided by the embodiments of the present application.
Embodiment
As shown in Figure 1, the embodiment of the present application provides the camera lens 101 on a kind of user equipment 102, the user equipment can be with
To be provided with the electronic equipments such as the intelligent watch of camera lens, smart mobile phone, tablet computer.The camera lens can be on user equipment
Camera lens, or other camera lenses that user voluntarily installs.The camera lens can be used for taking pictures, shooting, video calling etc..The mirror
The photographic equipment that head is usually not as specialty has lens cap, can protect camera lens.Camera lens on user equipment is typically exposed
, in user when in use, camera lens may be touched and be stained with fingerprint, greasy dirt, dust etc., and impacted to taking pictures.Camera lens
It is totally very not big on photographic effects experience influence, it is more intuitively the diffraction phenomena of the light source in picture, figure can be caused indirectly
Piece is unintelligible, poor contrast, and picture picture has covered one layer of mist, but usually user equipment user is inadequate for the color of the image of shooting
Bright-coloured, mainly shooting gimmick, equipment is in itself etc. the reason for consideration.It can not determine to be due to the dirty caused shooting effect of camera lens
It is deteriorated, it is bad to be attributed to product itself, strong influence user experience.
When camera lens occurs dirty, in the photo of direct photographic light sources, contrast is relative to clean poor, the color of camera lens
It is not bright-coloured enough, and diffraction phenomena can be produced at light source, there is the diffraction pattern of banding in each point light source.Based on this, the application
The diffraction phenomena occurred when embodiment is by detecting dirty camera lens photographic light sources, determines that the camera lens is dirty, reminds user timely
Camera lens is wiped, keeps the clean of camera lens, clear to take, perfect photo, lifts user experience.
As shown in Fig. 2, the embodiment of the present application provides a kind of dirty method of detector lens, including：
Step 201, user equipment obtain image to be detected；
Step 202, the user equipment carry out edge detection according to edge convolution algorithm to described image to be detected, obtain
Edge image；
Step 203, the user equipment determine first edge and second edge from the edge image；
Step 204, the user equipment are if it is determined that the brightness value of the corresponding pixel of the first edge and second side
The brightness value of the corresponding pixel of edge is more than predetermined threshold value, and the first edge is at least partly overlapped with the second edge, then
There are dirty for the camera lens of definite described image to be detected of shooting.
In step 201, the user equipment can obtain to be detected according to user in the various scenes using camera lens
Image.For example, user in shooting photo, shooting, video calling, the scene such as scan the two-dimensional code.
To make to determine the diffraction phenomena of the dirty caused light source of camera lens, before image to be detected is obtained, can include：Really
The shooting environmental of the fixed camera lens whether be artificial light source shooting environmental.
Specifically, it by ambient brightness detection module, can determine that the average brightness of shooting environmental in the camera lens is small
In the brightness of natural light environment.Then it is determined as the shooting environmental for including artificial light source, rather than natural light environment.E.g., including
The environment of artificial light source can have the environment of the artificial light sources such as fluorescent lamp, lighting apparatus at indoor environment and night.Determine described
Shooting environmental residing for camera lens whether there is natural light, can choose specific threshold value according to actual application environment, for example, can be with
When the brightness value (Light Value) of selection environment is less than 8, it is determined as the shooting environmental for including artificial light source.
In the specific implementation process of step 201, it may comprise steps of：
A kind of possible implementation, the user equipment obtain image to be detected, including：
Step 1: after the user equipment determines that the image of the camera lens collection of the user equipment remains unchanged, institute is adjusted
State automatic exposure, white balance and the focus value of the camera lens of user equipment；
Step 2: it is stabilization that the user equipment, which determines that automatic exposure, white balance and the focus value of the camera lens are all,
After state, the image shot by the camera lens is used as described image to be detected.
Image to be detected after collection is stablized herein is obscured to exclude to shake caused image, after in addition being stablized
Image to be detected cause subsequently to the recognition accuracy higher of image to be detected.
Wherein, the image of camera lens shooting can be the camera lens in the preview image of collection, a frame was intercepted per N second
Picture, when automatic exposure, white balance and the focus value of M images for determining collection are kept not for stationary value and the M images
During change, an image is randomly selected as described image to be detected.
In step 202, the edge convolution algorithm can be CANNY edges convolution algorithm, by denoising, from original
Image generates the direction that brightness gradient map and brightness step are each put in image.Higher brightness step is relatively likely to be
Edge, according to brightness step figure, using hysteresis threshold and Gaussian filter, according to the specific requirement of application scenarios be adjusted with
Identify different local edges.For example, it is necessary to identify the edge of light source in the embodiment of the present application, therefore, can be according to identification
Object characteristic, select suitable wave filter, the parameter of corresponding CANNY be set, to obtain the side of described image to be detected
Edge image.
In step 203, a kind of possible implementation, the user equipment determine first from the edge image
Edge and second edge, including：
The user equipment is determined from the edge image to meet the first of first shape feature according to Hough transformation
Edge and the second edge for meeting the second shape facility；The first shape is characterized as straight line；Second shape facility is circle
Shape, ellipse or square.
Specifically, Hough transformation is to identify one of basic skills of geometry in image procossing from image.Hough becomes
Change from curve interruption and the rotating influence of figure in terms of the target of known form is examined, even if target has slightly defect or dirt
Dye can be also correctly validated, and discrimination is high.Hough transformation is by the song of the given curve negotiating image space in original image space
Line equation is changed into a point of parameter space, i.e., the overall permanence of detection given curve is converted into detection local characteristics.Image
Each point in space on same circle, straight line or ellipse has corresponded to a figure in parameter space, empty in image
Between in these points on same curves all meet their corresponding equations, therefore, obtained after each spot projection in these points
Image can all intersect at a point in parameter space.So when this crosspoint in parameter space it is more if, show
Meet that the figure of this parameter is fuller in artwork image space, confidence level is higher.
In the embodiment of the present application, using Hough transformation, from the edge image, determine to meet in the edge image
The first edge and second edge of the parameter models such as straight line, circle, ellipse.
Under common shooting, video state, to ensure picture quality, the light source occurred in image is usually apart from camera lens
Light source farther out, and then in the edge image, circle that the edge of the artificial light source should be, ellipse, square etc. are closed
Close curve.In the embodiment of the present application, the edge closed curve such as circular, oval, square determined is as first edge.This
Apply in embodiment, using linear edge as second edge.
As shown in figure 3, it is a kind of dirty image to be detected of detector lens provided by the embodiments of the present application.In the image,
Artificial light source corresponds to first edge 301 and corresponds to second edge 302 for a circle, diffraction pattern, straight to intersect with artificial light source
Line edge.As shown in figure 4, the artificial light source and diffraction pattern that are determined for the user equipment according to CANNY edges convolution algorithm
Edge image.According to Hough transformation, the user equipment can determine that first edge 301 is a circular edges in described image
Edge, second edge 302 are linear edge.
In step 204, the brightness of artificial light source on the image is larger, can distinguish artificial light source and its according to brightness
His object.Therefore, the first edge that brightness is more than threshold value in the first edge in the edge image is the image to be monitored
In artificial light source；If it can be determined near light source there are the diffraction phenomena of artificial light source in the edge image
The second edge that brightness is more than threshold value is the diffraction pattern of the artificial light source.According to the above method, the user equipment can be with
Determine that the first edge 301 in Fig. 4 corresponds to artificial light source, second edge 302 corresponds to the diffraction pattern of the artificial light source.
In the specific implementation process of diffraction pattern of artificial light source is judged, in the following manner can be included：
A kind of possible implementation, the user equipment determine the first edge with the second edge at least partly
Overlap, including：
The user equipment determines that the first edge is at least partly overlapped with first area, it is determined that the first edge
At least partly overlapped with the second edge；The first area is the second edge area defined, and described first
The brightness value of pixel in region is more than the predetermined threshold value.
A kind of possible implementation, the user equipment determine the first edge with the second edge at least partly
Overlap, including：
The user equipment determines that second area is at least partly overlapped with first area, it is determined that the first edge and institute
Second edge is stated at least partly to overlap；The first area is the second edge area defined, and the first area
In the brightness value of pixel be more than the predetermined threshold value；The region that the second area is made of the second edge, and institute
The brightness value for stating the pixel in second area is more than the predetermined threshold value.
Under normal conditions, the brightness value that the pixel where the light source in image is shown on a display screen is maximum, because
This, in specific implementation process, the scope of the predetermined threshold value is 250-255.
A kind of possible implementation, the user equipment determine to shoot the camera lens of described image to be detected there are it is dirty it
Afterwards, including：
The user equipment display reminding information, the prompt message are used to prompt the camera lens for shooting described image to be detected
There are dirty.
In specific implementation process, the user equipment can be reminded in the photograph preview interface of the user equipment and used
Family：Camera lens please wipe camera lens there are dirty；Wiping can use cotton cloth, facial tissue etc. to wipe manually, or by camera lens certainly
Dynamic wiping arrangement wipes camera lens.
As shown in figure 5, the embodiment of the present application provides a kind of dirty method of detector lens, comprise the following steps：
Step 501, user equipment determine that camera lens opens preview mode；
Step 502, the user equipment judge current lightness environment whether be artificial light source environment；If so, then hold
Row step 503, otherwise, performs step 508；
Step 503, obtain stable image to be detected；
Step 504, the user equipment obtain edge image according to CANNY edges convolution algorithm, and according to Hough transformation,
Determine the first edge and second edge in the edge image；
Step 505, the user equipment judge the brightness value of the corresponding pixel of the first edge and the second edge
Whether the brightness value of corresponding pixel is more than predetermined threshold value, and the first edge is at least partly overlapped with the second edge,
If so, then go to step 506；Otherwise, step 508 is gone to；
Step 506, the user equipment determine to shoot the camera lens of described image to be detected, and there are dirty；
Step 507, the user equipment are in the dirty prompting of image preview interface display camera lens；
Step 508, the user equipment are according to the shooting instruction shooting image of user.
As shown in fig. 6, the embodiment of the present application provides a kind of dirty device of detector lens.
The device 600, including：
Receiving unit 601, for obtaining image to be detected；
Processing unit 602, for carrying out edge detection to described image to be detected according to edge convolution algorithm, obtains edge
Image；First edge and second edge are determined from the edge image；If it is determined that the corresponding pixel of the first edge
Brightness value and the brightness value of the corresponding pixel of the second edge are more than predetermined threshold value, and the first edge and second side
Edge at least partly overlaps, it is determined that shooting the camera lens of described image to be detected, there are dirty.
A kind of possible implementation, processing unit 602, is specifically used for：
Determine that the first edge is at least partly overlapped with first area, it is determined that the first edge and second side
Edge at least partly overlaps；The first area is the second edge area defined, and the pixel in the first area
Brightness value be more than the predetermined threshold value.
A kind of possible implementation, processing unit 602, is specifically used for：
Determine that second area is at least partly overlapped with first area, it is determined that the first edge and the second edge are extremely
Small part overlaps；The first area is the second edge area defined, and the pixel in the first area is bright
Angle value is more than the predetermined threshold value；The region that the second area is made of the second edge, and in the second area
The brightness value of pixel be more than the predetermined threshold value.
A kind of possible implementation, processing unit 602, is specifically used for：
The first edge determining from the edge image to meet first shape feature according to Hough transformation and meet the
The second edge of two shape facilities；The first shape is characterized as straight line；Second shape facility for circular, ellipse or
It is square.
The embodiment of the present application provides a kind of computer-readable recording medium, including computer-readable instruction, works as computer
When reading and performing the computer-readable instruction so that computer performs the method described in above-mentioned any one.
The embodiment of the present application provides a kind of computer program product, including computer-readable instruction, when computer is read
And perform the computer-readable instruction so that computer performs the method as described in above-mentioned any one.
The embodiment of the present application provides a kind of chip, and the chip is connected with memory, for reading and performing the storage
The software program stored in device, to realize the method in any of the above-described in various possible designs.
In conclusion the embodiment of the present application provides the dirty method and device of kind detector lens, set by user
It is standby to obtain image to be detected；The user equipment carries out edge detection according to edge convolution algorithm to described image to be detected, obtains
Obtain edge image；The user equipment determines first edge and second edge from the edge image；The user equipment
If it is determined that the brightness value of the corresponding pixel of the first edge is more than predetermined threshold value, and overlapped with predeterminable area, it is determined that shooting
There are dirty for the camera lens of described image to be detected；The predeterminable area is the second edge area defined and described pre-
If the brightness value of the pixel in region is more than the predetermined threshold value.Realize that automatic identification camera lens is dirty, solve in the prior art
User can not know camera lens it is whether dirty cause user take pictures experience difference the problem of.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or square frame in journey and/or square frame and flowchart and/or the block diagram.These computer programs can be provided
The processors of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices, which produces, to be used in fact
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided and is used for realization in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a square frame or multiple square frames
Although having been described for the preferred embodiment of the application, those skilled in the art once know basic creation
Property concept, then can make these embodiments other change and modification.So appended claims be intended to be construed to include it is excellent
Select embodiment and fall into all change and modification of the application scope.
Obviously, those skilled in the art can carry out the application essence of the various modification and variations without departing from the application
God and scope.In this way, if these modifications and variations of the application belong to the scope of the application claim and its equivalent technologies
Within, then the application is also intended to comprising including these modification and variations.
Claims (11)
1. a kind of dirty method of detector lens, it is characterised in that including：
User equipment obtains image to be detected；
The user equipment carries out edge detection according to edge convolution algorithm to described image to be detected, obtains edge image；
The user equipment determines first edge and second edge from the edge image；
The user equipment is if it is determined that the brightness value and the corresponding pixel of the second edge of the corresponding pixel of the first edge
Brightness value be more than predetermined threshold value, and the first edge is at least partly overlapped with the second edge, it is determined that described in shooting
There are dirty for the camera lens of image to be detected.
2. the method as described in claim 1, it is characterised in that the user equipment determines the first edge and described second
Edge at least partly overlaps, including：
The user equipment determines that the first edge is at least partly overlapped with first area, it is determined that the first edge and institute
Second edge is stated at least partly to overlap；The first area is the second edge area defined, and the first area
In the brightness value of pixel be more than the predetermined threshold value.
3. the method as described in claim 1, it is characterised in that the user equipment determines the first edge and described second
Edge at least partly overlaps, including：
The user equipment determines that second area and first area at least partly overlap, it is determined that the first edge and described the
Two edges at least partly overlap；The first area is the second edge area defined, and in the first area
The brightness value of pixel is more than the predetermined threshold value；The region that the second area is made of the second edge, and described
The brightness value of pixel in two regions is more than the predetermined threshold value.
4. the method as described in claim 1, it is characterised in that the user equipment determines first from the edge image
Edge and second edge, including：
The user equipment determines from the edge image first edge for meeting first shape feature according to Hough transformation
With the second edge for meeting the second shape facility；The first shape is characterized as straight line；Second shape facility is circular, ellipse
It is circular or square.
5. the method as described in claim 1, it is characterised in that the user equipment obtains image to be detected, including：
The user equipment adjusts automatic exposure, white balance and the focusing of the camera lens of the user equipment, and in the definite mirror
After automatic exposure, white balance and the focusing of head are stable state, the image shot by the camera lens is used as described to be checked
Altimetric image.
6. such as claim 1-5 any one of them methods, it is characterised in that the scope of the predetermined threshold value is 250-255.
7. such as claim 1-5 any one of them methods, it is characterised in that the user equipment determines to shoot described to be detected
The camera lens of image there are after dirty, including：
The user equipment display reminding information, the camera lens that the prompt message is used to prompt to shoot described image to be detected exist
It is dirty.
A kind of 8. dirty device of detector lens, it is characterised in that including：
Receiving unit, for obtaining image to be detected；
Processing unit, for carrying out edge detection to described image to be detected according to edge convolution algorithm, obtains edge image；From
First edge and second edge are determined in the edge image；If it is determined that the brightness value of the corresponding pixel of the first edge and
The brightness value of the corresponding pixel of the second edge is more than predetermined threshold value, and the first edge and the second edge at least portion
Point overlap, it is determined that shooting the camera lens of described image to be detected, there are dirty.
9. device as claimed in claim 8, it is characterised in that the processing unit, is specifically used for：
Determine that the first edge is at least partly overlapped with first area, it is determined that the first edge and the second edge are extremely
Small part overlaps；The first area is the second edge area defined, and the pixel in the first area is bright
Angle value is more than the predetermined threshold value.
10. device as claimed in claim 8, it is characterised in that the processing unit, is specifically used for：
Determine that second area is at least partly overlapped with first area, it is determined that the first edge and the second edge at least portion
Divide and overlap；The first area is the second edge area defined, and the brightness value of the pixel in the first area
More than the predetermined threshold value；The region that the second area is made of the second edge, and the picture in the second area
The brightness value of element is more than the predetermined threshold value.
11. device as claimed in claim 8, it is characterised in that the processing unit, is specifically used for：
The first edge determining from the edge image to meet first shape feature according to Hough transformation and meet the second shape
The second edge of shape feature；The first shape is characterized as straight line；Second shape facility is circular, ellipse or side
Shape.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711132091.4A CN107945158A (en) | 2017-11-15 | 2017-11-15 | A kind of dirty method and device of detector lens |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711132091.4A CN107945158A (en) | 2017-11-15 | 2017-11-15 | A kind of dirty method and device of detector lens |
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| Publication Number | Publication Date |
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| CN107945158A true CN107945158A (en) | 2018-04-20 |
Family
ID=61932341
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711132091.4A Pending CN107945158A (en) | 2017-11-15 | 2017-11-15 | A kind of dirty method and device of detector lens |
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| CN (1) | CN107945158A (en) |
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| CN110766679A (en) * | 2019-10-25 | 2020-02-07 | 普联技术有限公司 | Lens contamination detection method and device and terminal equipment |
| CN110889801A (en) * | 2018-08-16 | 2020-03-17 | 九阳股份有限公司 | Decontamination optimization method for camera of smoke stove system and smoke stove system |
| CN111374608A (en) * | 2018-12-29 | 2020-07-07 | 尚科宁家(中国)科技有限公司 | Dirt detection method, device, equipment and medium for lens of sweeping robot |
| CN111405177A (en) * | 2020-03-09 | 2020-07-10 | Oppo广东移动通信有限公司 | Image processing method, terminal and computer readable storage medium |
| CN111435544A (en) * | 2019-01-14 | 2020-07-21 | 珠海格力电器股份有限公司 | Picture processing method and device |
| CN112069974A (en) * | 2020-09-02 | 2020-12-11 | 安徽铜峰电子股份有限公司 | Image recognition method and system for recognizing defects of components |
| CN112862832A (en) * | 2020-12-31 | 2021-05-28 | 重庆盛泰光电有限公司 | Dirt detection method based on concentric circle segmentation positioning |
| CN114441543A (en) * | 2022-02-22 | 2022-05-06 | 江苏新亚勘测设计有限公司 | Real-time monitoring device for building state |
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| CN110475063B (en) * | 2019-08-01 | 2021-03-16 | Oppo广东移动通信有限公司 | Image acquisition method and device, and storage medium |
| CN110475063A (en) * | 2019-08-01 | 2019-11-19 | Oppo广东移动通信有限公司 | Image-pickup method and device and storage medium |
| CN110766679B (en) * | 2019-10-25 | 2022-09-06 | 普联技术有限公司 | Lens contamination detection method and device and terminal equipment |
| CN110766679A (en) * | 2019-10-25 | 2020-02-07 | 普联技术有限公司 | Lens contamination detection method and device and terminal equipment |
| CN111405177A (en) * | 2020-03-09 | 2020-07-10 | Oppo广东移动通信有限公司 | Image processing method, terminal and computer readable storage medium |
| CN111405177B (en) * | 2020-03-09 | 2021-09-24 | Oppo广东移动通信有限公司 | Image processing method, terminal and computer-readable storage medium |
| CN112069974A (en) * | 2020-09-02 | 2020-12-11 | 安徽铜峰电子股份有限公司 | Image recognition method and system for recognizing defects of components |
| CN112069974B (en) * | 2020-09-02 | 2023-04-18 | 安徽铜峰电子股份有限公司 | Image recognition method and system for recognizing defects of components |
| CN112862832A (en) * | 2020-12-31 | 2021-05-28 | 重庆盛泰光电有限公司 | Dirt detection method based on concentric circle segmentation positioning |
| CN112862832B (en) * | 2020-12-31 | 2022-07-12 | 盛泰光电科技股份有限公司 | Dirt detection method based on concentric circle segmentation positioning |
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